# TaylorInterface.jl: highly efficient numerical integration of ODEs with jet transport

**URL:** <https://discourse.julialang.org/t/taylorinterface-jl-highly-efficient-numerical-integration-of-odes-with-jet-transport/101256>\
**Category:** Package Announcements\
**Tags:** package\
**Created:** [July 6, 2023, 12:54pm UTC](https://discourse.julialang.org/t/taylorinterface-jl-highly-efficient-numerical-integration-of-odes-with-jet-transport/101256 "2023-07-06T12:54:30Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Alseidon](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/alseidon/32/207775_2.png) [@Alseidon](https://discourse.julialang.org/u/Alseidon)\
**Post date:** [July 6, 2023, 12:54pm UTC](https://discourse.julialang.org/t/taylorinterface-jl-highly-efficient-numerical-integration-of-odes-with-jet-transport/101256/1 "2023-07-06T12:54:30Z")

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I just made public the repo for my first package, [TaylorInterface.jl](https://github.com/Alseidon/TaylorInterface.jl). This is an interface to [taylor](http://www.maia.ub.es/~angel/taylor/), a Linux tool for transforming equations for a vector into a highly efficient C numerical integrator, with arbitrary order jet transport. With this package, you can take advantage of taylor by calling it, compiling the C files and opening the resulting library without leaving Julia.

As a comparison, for the restricted three-body problem, without jet transport, there is a factor of roughly 40 in speed compared to [TaylorIntegration.jl](https://github.com/PerezHz/TaylorIntegration.jl). I haven’t made strict tests with jet transport included, but the factor should be even higher.

As I said, this is my first package, and far from release-ready. However, I would be very happy to welcome feedback, tips and any constructive criticism, hence the public repository.

Thanks!